1.3. Key Responsibilities
Tool Development: Design develop test and maintain actuarial tools and models using various programming languages (e.g. Python VBA R SQL) to automate processes enhance data analysis and improve reporting capabilities.
Process Transformation: Identify opportunities for process improvement and automation within actuarial functions collaborating with actuarial teams to implement innovative solutions.
Data Management: Work with large datasets ensuring data integrity efficient processing and effective visualization for actuarial insights
. Technical Support: Provide technical support and troubleshooting for existing actuarial tools and applications ensuring their smooth operation.
Collaboration: Work closely with actuarial teams IT and other stakeholders to gather requirements provide technical guidance and ensure successful project delivery.
Documentation: Create and maintain comprehensive technical documentation for developed tools and processes.
Continuous Improvement: Stay abreast of emerging technologies and best practices in coding data science and actuarial science to drive continuous improvement.1.4. Required Skills & Experience
Experience: 3-4 years of professional experience in software development programming or data analysis roles with a strong focus on coding and tool development
. Programming Proficiency: Demonstrated expertise in at least two of the following programming languages: Python VBA R SQL.
Problem-Solving: Strong analytical and problem-solving skills with the ability to translate complex actuarial concepts into technical solutions.
Communication: Excellent verbal and written communication skills with the ability to articulate technical concepts to non-technical stakeholders.
Education: Bachelors or Masters degree in Computer Science Engineering Mathematics Actuarial Science or a related quantitative field
.1.5. Desired Skills
Insurance Domain Knowledge: Prior experience or strong understanding of the insurance industry including life general or health insurance products and actuarial concepts.
Actuarial Qualifications: Progress towards actuarial qualifications (e.g. IFoA SOA IAI) is an advantage but not mandatory.
Data Visualization Tools: Experience with data visualization tools (e.g. Power BI Tableau) is a plus.
Cloud Platforms: Familiarity with cloud platforms (e.g. AWS Azure GCP) and their services.1.6. Work Location & Model
Locations: Gurgaon Chennai or Pune Work Model: Hybrid (a blend of in-office and remote work promoting flexibility and collaboration)
Qualifications :
Graduate
Remote Work :
Yes
Employment Type :
Full-time
Experience: years
Vacancy: 1 .
